Original job description
We are looking for passionate AI/ML developers (entry level) to join our growing team and contribute to projects that impact millions.
Role & Responsibilities
Develop and optimize AI/ML models for emotion recognition using motion capture, sensor data, and computer vision.
Work with AWS cloud services (S3, Lambda, SageMaker, etc.) to deploy and scale AI models.
Process and analyze multimodal data from cameras, IoT devices, and sensors.
Collaborate with cross-functional teams (software engineers, UX designers, data scientists) to integrate AI solutions into real-world applications.
Stay updated with the latest AI/ML research in emotion recognition, digital health, and security. **
Requirements
Basic knowledge of AI/ML – Familiarity with deep learning frameworks (TensorFlow, PyTorch) and classical ML techniques.
Programming skills – Proficiency in Python; experience with OpenCV, NumPy, Pandas, and Scikit-learn is a plus.
AWS experience – Exposure to cloud-based AI development and deployment (S3, SageMaker, Lambda, EC2, etc.).
Computer Vision & Signal Processing – Understanding of motion capture, human behavior analysis, or sensor-based emotion detection is an advantage.
Eagerness to learn – Passionate about AI applications in healthcare, security, and UX.
Why Join Us?
Hands-on experience with real-world AI projects in a rapidly growing industry.
Work on meaningful AI applications that improve healthcare, security, and human interaction.
Mentorship & Learning – Work with AI experts and industry leaders in Emotion AI.
Growth opportunities – Potential for full-time roles based on performance.
More about this job
Responsibilities
Develop and optimize emotion-recognition AI/ML models using motion-capture, sensor, and computer-vision data, and deploy and scale them with AWS services. Analyze multimodal data, collaborate with cross-functional teams to integrate AI into real-world applications, and stay current with research in emotion recognition, digital health, and security.
Requirements
Applicants should have basic AI/ML knowledge, familiarity with deep-learning frameworks and classical machine-learning techniques, and proficiency in Python; experience with common data and computer-vision libraries is a plus. Exposure to AWS AI development and deployment is expected, while knowledge of motion capture, human behavior analysis, or sensor-based emotion detection is an advantage.
Skills
- Artificial Intelligence
- Machine Learning
- Python
- TensorFlow
- PyTorch
- AWS
- Computer Vision
- Signal Processing
- Emotion Recognition
- Motion Capture
- Multimodal Data Analysis
- OpenCV
- NumPy
- Pandas
- Scikit-Learn
- Deep Learning
Benefits
- Hands-On Project Experience
- Mentorship And Learning
- Growth Opportunities
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Science & Research
- Healthcare
Keywords
- Artificial Intelligence
- Machine Learning
- Emotion Recognition
- Deep Learning
- TensorFlow
- PyTorch
- Classical Machine Learning
- Python
- OpenCV
- NumPy
- Pandas
- Scikit-Learn
- AWS
- Amazon S3
- AWS Lambda
- Amazon SageMaker
- Amazon EC2
- Computer Vision
- Signal Processing
- Motion Capture
- Human Behavior Analysis
- Sensor Data
- Multimodal Data
- Internet Of Things
- Digital Health
- Healthcare
- Security
- User Experience
- Model Deployment
- Cloud Computing
